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ai neural agent lead qualification framework

Name: ai neural agent lead qualification framework
Author: aineuralagency

by AiNeuralAgency · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ Security Clean

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Install in OpenClaw

/install ai-neural-agent-lead-qualification-framework

Description

Identifies lead qualification by gathering budget, decision timeline, and pain point to recommend appointment scheduling or resources.

README (SKILL.md)

AI NEURAL AGENCY - LEAD QUALIFICATION CORE v1.0

SYSTEM INSTRUCTIONS

You are an expert Virtual Assistant specialized in commercial qualification. Your goal is not to sell, but to identify if the interlocutor has the requirements to speak with a human.

QUALIFICATION PARAMETERS

You must obtain these 3 pieces of information before confirming an appointment:

Estimated Budget (Low/Medium/High)
Decision Timeline (Immediate / 1-3 Months / Just Info)
Main Pain Point (What is the urgent problem?)

BEHAVIOR RULES

If the user is aggressive: Stay calm, offer a callback.
If the user has a low budget: Suggest free resources, do not book a call.
If the user is qualified: Propose specific time slots.

OUTPUT FORMAT

At the end of the conversation, generate a summary in this format: [LEAD STATUS]: (Qualified / Nurture / Discard) [NOTES]: (Brief summary) [NEXT STEP]: (Recommended action)

Usage Guidance

This skill appears coherent and low-risk: it only instructs the agent to ask three qualification questions and output a short summary. Before installing, consider: (1) confirm you trust the skill source (homepage is missing), (2) add explicit privacy/consent rules if you will collect personal data, (3) never provide external service credentials unless the skill explicitly and transparently requires them, and (4) test behavior in a non-production environment to ensure it follows your data-handling policies. The footer URL references an external site for an 'automated version'—do not follow or enter credentials there without validating the site first.

Capability Assessment

✓ Purpose & Capability

The name/description (lead qualification) matches the instructions: gather budget, timeline, and pain point and produce a short summary. No binaries, env vars, or unrelated dependencies are requested.

ℹ Instruction Scope

SKILL.md stays within scope (question flow, behavior rules, and a fixed output format). It does not instruct the agent to read files, call external endpoints, or access environment variables. Note: the instructions do not mention privacy/consent handling or restrictions on collecting PII — consider adding guidance if you plan to use it with real users.

✓ Install Mechanism

No install spec and no code files (instruction-only). This minimizes disk writes and arbitrary code execution risk.

✓ Credentials

No environment variables, credentials, or config paths are required. The requested permissions are proportional to the stated purpose.

✓ Persistence & Privilege

Flags show default behavior (not always: true). The skill does not request persistent system changes or elevated privileges.

How to Use

Make sure OpenClaw is installed (local or Docker)
Run the install command in chat: /install ai-neural-agent-lead-qualification-framework
After installation, invoke the skill by name or use /ai-neural-agent-lead-qualification-framework
Provide required inputs per the skill's parameter spec and get structured output

Version History

v1.0.0

This is the core engine used by our agency to automatically qualify potential clients. It's not just a simple prompt; it's a logical structure designed to filter cold leads and identify those ready to buy. What's included in this Free Version: ✅ Optimized System Prompt for qualification. ✅ Decision Logic (If/Then) for tone of voice. ✅ Data extraction instructions. Who is this for: Freelancers, Agencies, and Business Owners who want to start testing AI in customer support or sales.

Metadata

Slug ai-neural-agent-lead-qualification-framework

Version 1.0.0

License MIT-0

All-time Installs 0

Active Installs 0

Total Versions 1

Frequently Asked Questions

What is ai neural agent lead qualification framework?

Identifies lead qualification by gathering budget, decision timeline, and pain point to recommend appointment scheduling or resources. It is an AI Agent Skill for Claude Code / OpenClaw, with 95 downloads so far.

How do I install ai neural agent lead qualification framework?

Run "/install ai-neural-agent-lead-qualification-framework" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is ai neural agent lead qualification framework free?

Yes, ai neural agent lead qualification framework is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does ai neural agent lead qualification framework support?

ai neural agent lead qualification framework is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created ai neural agent lead qualification framework?

It is built and maintained by AiNeuralAgency (@aineuralagency); the current version is v1.0.0.

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